R yükleme
R RStudio X11 Java OS
R paket yükleme
install.packages("tidyverse", dependencies = TRUE)
install.packages("jmv", dependencies = TRUE)
install.packages("questionr", dependencies = TRUE)
install.packages("Rcmdr", dependencies = TRUE)
require(tidyverse)
require(jmv)
require(questionr)
library(Rcmdr)
Veriyi görüntüleme
summary() View(data) data head tail glimpse str skim
Veriyi kod ile değiştirelim
Basit tanımlayıcı istatistikler
summary() mean median min max sd table()
jmv::descriptives(
data = data,
vars = "Sepal.Length",
splitBy = "Species",
freq = TRUE,
hist = TRUE,
dens = TRUE,
bar = TRUE,
box = TRUE,
violin = TRUE,
dot = TRUE,
mode = TRUE,
sum = TRUE,
sd = TRUE,
variance = TRUE,
range = TRUE,
se = TRUE,
skew = TRUE,
kurt = TRUE,
quart = TRUE,
pcEqGr = TRUE)
scatr::scat(
data = data,
x = "Sepal.Length",
y = "Sepal.Width",
group = "Species",
marg = "dens",
line = "linear",
se = TRUE)
Rcmdr
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